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Python Spss Jobs (NOW HIRING)

Use statistical techniques such as STATA, Python, SPSS, R, SAS on large datasets to identify trends, patterns and insights. Business Insights * Prepare, analyze and summarize operational results for ...

Use statistical techniques such as STATA, Python, SPSS, R, SAS on large datasets to identify trends, patterns and insights. Business Insights * Prepare, analyze and summarize operational results for ...

Minimum 3 years' experience using statistical software (e.g., R, Python, SPSS, SAS). Desired / Preferred Qualifications * Minimum 1 year experience in a program evaluation role applying social ...

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Minimum 3 years' experience using statistical software (e.g., R, Python, SPSS, SAS). Desired / Preferred Qualifications * Minimum 1 year experience in a program evaluation role applying social ...

Excellent skills in Microsoft Excel and software tools/languages designed for analytical work a plus (SAS, SQL, R, Python, SPSS, other). Benefits/Perks * Opportunity for annual performance bonus

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As of Jun 4, 2026, the average hourly pay for python spss in the United States is $58.62, according to ZipRecruiter salary data. Most workers in this role earn between $48.32 and $66.59 per hour, depending on experience, location, and employer.

Industrial-Organizational Psychologist

Advent Services

Washington, DC • Remote

Full-time

Posted 18 days ago


Job description

Salary:

Position Title: Industrial-Organizational (I-O) Psychologist


Position Overview: We are seeking an Industrial-Organizational Psychologist to support workforce analysis and reclassification of federal job series. The incumbent will apply psychological principles, job analysis methods, and organizational science to ensure that positions are properly classified in alignment with Office of Personnel Management (OPM) standards. This role combines expertise in human behavior, job design, and organizational structures with strong analytic skills to improve workforce planning and classification accuracy.


Required Qualifications:
Doctoral degree (PhD or PsyD) in Industrial-Organizational Psychology or a closely related field.
Strong knowledge of job analysis, competency modeling, and organizational assessment methods.
Experience interpreting and applying OPM job classification standards and federal HR policies.
Proficiency in research design, psychometrics, and statistical analysis.
Strong written and verbal communication skills, with the ability to present complex findings to diverse audiences.
Ability to collaborate effectively with HR professionals, organizational leaders, and technical experts.


Key Responsibilities:
Conduct job analyses to identify core tasks, competencies, and requirements for a variety of occupational series.
Review and evaluate position descriptions to ensure alignment with OPM classification standards.
Apply psychometric and organizational research methods to validate job series and grade determinations.
Partner with subject matter experts, HR specialists, and leadership to ensure reclassification efforts are accurate, consistent, and defensible.
Develop competency models and frameworks to support classification and workforce planning.
Provide evidence-based recommendations for job alignment, role clarity, and organizational efficiency.
Prepare reports, documentation, and presentations to communicate findings and recommendations to stakeholders.
Stay informed of current federal classification policies, psychological assessment practices, and workforce trends.


Desired Skills:
Experience with workforce analytics and large-scale classification or organizational studies.
Familiarity with data science tools (e.g., R, Python, SPSS, or SAS) for workforce and organizational analysis.
Knowledge of change management and organizational development principles.
Experience working in or with federal agencies.
Impact: The Industrial-Organizational Psychologist will play a critical role in ensuring positions are accurately classified, supporting organizational effectiveness, and aligning workforce structures with mission needs